Data leakage & model-side risks

P59.llm-threats.02 · Audience: guest, it-ml, language-pro · Prerequisites: Prompt injection & untrusted content

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Everything you put in a prompt leaves your process — it reaches a provider, may be retained, and can resurface. Everything you log stays with you, often for years. Both paths leak the same things: emails, tokens, keys, customer data.

This module builds the redactor that guards both, then steps back to the systemic risks: system-prompt exfiltration (treat it as not secret), output filtering, and tenant isolation — which is really P56 authorization applied to a vector store.

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Rung 1 — redact secrets and PII before they travel

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Interview rung — data leakage & tenant isolation (free-form)

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Data leakage & model-side risks — TransformerLab